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专家系统中的特征展开三Ⅰ模糊推理模型及其应用 被引量:8

A FUZZY REASONING MODEL OF CHARACTERISTIC EXPANSION BASED ON TRIPLE I METHOD AND ITS APPLICATION IN EXPERT SYSTEMS
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摘要 本文探讨基于三Ⅰ机制的特征展开模糊推理模型及其在专家系统中的实现问题,以特征系数和支持度作为证据与规则的不精确性描述参量,以特征系数的更新或合并算法为不精确性的传播算法,在雄风4.1专家系统开发平台中,运用规则对象块的"规则架+规则体"的规则组知识表示方法,实现了该平台上的特征展开三Ⅰ模糊推理,并以作物营养诊断与矫治专家系统为实例验证,该模型在雄风系列专家系统开发平台中尚属首次使用,并且具有广泛的适用性和可借鉴性。 A fuzzy reasoning model of characteristic expansion based on triple I method and its application in expert systems were discussed in this paper. Using characteristic coefficients and sustentation degree as imprecisely describing parameters of evidence and rule, and using the updating or combining algorithm of characterstic coefficients as imprecisely spreading algorithm, and using rule set including rule skeleton and rule body in the object module of rule as the method of knowledge representation the fuzzy reasoning model of characteristic expansion based on triple I method was implemented, on the expert system platform XF4.1. The expert system for crop nutrient diagnosis and correction was developed as a testing instance. This model was first applied to the series of XF expert system platforms and could be widely used and referenced.
出处 《模式识别与人工智能》 EI CSCD 北大核心 2001年第3期272-275,共4页 Pattern Recognition and Artificial Intelligence
基金 国家863高技术资助
关键词 模糊推理 专家系统 三工机制 特征系数 农业 Fuzzy Reasoning, Triple Implication Method, Expert Systems
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参考文献5

  • 1王国俊.模糊推理的全蕴涵三I算法[J].中国科学(E辑),1999,29(1):43-53. 被引量:351
  • 2Xiong F L,Proc of the 4th IFAC/CIGR Workshop on AI in Agriculture,2001年
  • 3王国俊,中国科学.E,1999年,29卷,1期,43页
  • 4熊范纶,农业专家系统及开发工具,1999年
  • 5刘有才,模糊专家系统原理与设计,1995年

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